Novel concept-based image captioning models using LSTM and multi-encoder transformer architecture
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-69664-1
Abstract: Captioning an image involves using a combination of vision and language models to describe the image in an expressive and concise sentence. Successful captioning task requires extracting as much information as possible from the corresponding… read more here.
Keywords: image; multi encoder; captioning models; image captioning ... See more keywords
Multi-Encoder Transformer for Korean Abstractive Text Summarization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3277754
Abstract: In this paper, we propose a Korean abstractive text summarization approach that uses a multi -encoder transformer. Recently, in many natural language processing (NLP) tasks, the use of the pre-trained language models (PLMs) for transfer… read more here.
Keywords: multi encoder; text summarization; summarization; abstractive text ... See more keywords
A Novel and Effective Model for Automatic Modulation Classification Prediction Based on Multi-BIGRU, Multi-Encoder, and Hyper-Cross
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2024.3514078
Abstract: Automatic Modulation Classification (AMC) is a pivotal technology in various communication systems. In recent years, deep learning (DL) has been widely applied in AMC methods due to its powerful feature extraction capabilities. However, currently proposed… read more here.
Keywords: classification; automatic modulation; multi encoder; multi ... See more keywords